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README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.1
+tags:
+- generated_from_trainer
+model-index:
+- name: Mistral-7b
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Mistral-7b
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1919
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 2048
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 12.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.7591        | 0.64  | 25   | 4.9279          |
+| 2.0299        | 1.28  | 50   | 0.8182          |
+| 0.6558        | 1.92  | 75   | 0.5750          |
+| 0.4785        | 2.56  | 100  | 0.3823          |
+| 0.3837        | 3.2   | 125  | 0.2941          |
+| 0.3073        | 3.84  | 150  | 0.2318          |
+| 0.2119        | 4.48  | 175  | 0.1871          |
+| 0.1632        | 5.12  | 200  | 0.1595          |
+| 0.1297        | 5.76  | 225  | 0.1487          |
+| 0.1035        | 6.39  | 250  | 0.1476          |
+| 0.0856        | 7.03  | 275  | 0.1427          |
+| 0.0574        | 7.67  | 300  | 0.1482          |
+| 0.0448        | 8.31  | 325  | 0.1552          |
+| 0.0318        | 8.95  | 350  | 0.1562          |
+| 0.0196        | 9.59  | 375  | 0.1709          |
+| 0.0146        | 10.23 | 400  | 0.1793          |
+| 0.0084        | 10.87 | 425  | 0.1854          |
+| 0.0058        | 11.51 | 450  | 0.1919          |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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config.json

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+  "architectures": [
+    "MistralForCausalLM"
+  ],
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+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
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+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.1",
+  "use_cache": false,
+  "vocab_size": 32000
+}

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